Load state discrimination method and discrimination system driven by telemetering original data
A technology of raw data and telemetry data, applied in the application field, can solve the problem of lack of analysis of telemetry raw data, discriminant learning methods, etc.
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Embodiment 1
[0134] The principle of the present invention is as follows: establish a load stand-alone equipment state discrimination model driven by telemetry raw data, use an integrated learning method to train the telemetry raw data set and the load stand-alone equipment state data set, and use the fitted model to classify the load according to the telemetry data. Stand-alone equipment status is automatically judged.
[0135] Such as figure 1 As shown, Embodiment 1 of the present invention provides a method for discriminating the state of a load stand-alone device driven by telemetry raw data. The method uses satellite telemetry data to automatically determine the state of a load stand-alone device. The method includes:
[0136] Step 1) According to the status of the satellite task to be interpreted and the load stand-alone equipment, configure the access information of the telemetry parameter library table and the access information of the task load operation plan library table;
[01...
Embodiment 2
[0180] Such as figure 2As shown, Embodiment 2 of the present invention provides a load stand-alone equipment state discrimination system driven by telemetry raw data, which system includes the original database of satellite telemetry data, satellite mission operation plan database, telemetry parameter library table (real-time, delay) Configuration module, task load operation plan database table configuration module, packet telemetry load data extraction module, telemetry parameter original data merging and formatting module, telemetry parameter formatted data set construction module, outlier elimination module, segmented time scale alignment module, feature screening module, telemetry data and load state multi-label classification integrated learning model training module, model tuning parameters and application module.
[0181] Data stored in the original database of satellite telemetry data All raw telemetry data downlinked by satellites.
[0182] The data stored in the sa...
Embodiment 3
[0226] Based on the method of Embodiment 1, Embodiment 3 of the present invention proposes a system for discriminating the state of load stand-alone equipment driven by telemetry raw data. The system includes a receiving module, an extraction module, a discrimination module and a trained load stand-alone equipment discrimination model; among them,
[0227] The receiving module is used to receive the telemetry original data transmitted by the satellite;
[0228] The extraction module is used to extract the subpackaged telemetry data corresponding to the load stand-alone equipment from the telemetry raw data;
[0229] The discrimination module is used to input the packetized telemetry data into the pre-trained load stand-alone equipment discrimination model to obtain the status result of the load stand-alone equipment.
[0230] The input of the load stand-alone equipment discrimination model is the packetized telemetry data corresponding to the load stand-alone equipment, and t...
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